Learn R Programming

An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.

Copy Link

Version

Install

install.packages('LipidomicsR')

Monthly Downloads

218

Version

0.3.6

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Hengyu Zhu

Last Published

April 22nd, 2024

Functions in LipidomicsR (0.3.6)

heatmap

heatmap()
lipidomicsR_env

Global environment settings of LipidomicsR
lEr

lEr
nor.relative

nor.relative()
lEa

lEa()
normalization_calculator

normalization_calculator()
percent.calculator

percent.calculator()
nor.absolute

nor.absolute()
importer

importer()
noridx

noridx()
plotRadar

plotRadar()
volcano

Generate Volcano Plot
total.abundance

Calculate Total Abundance Data
replicate.delete

Delete repeated channel data generated by LC-MS
relative_calculator

relative.calculator()
sepclass

sepclass()
rsd_calculator

Calculate Relative Standard Deviation (RSD)
toGroup.calculator

toGroup.calculator()
abundance.signif

Analyze Abundance Significance
absolute.calculator

absolute.calculator()
delRep

delRep()
abundance.plot

Plot Abundance Data
abundance.lineplot

Plot Abundance Data
groupXpert

groupXpert()
abundance.summary

Summarize Abundance Data
QCplot

QCplot()
channel.delete

Delete repeated channel data generated by LC-MS
FC_P

Calculate Fold Change and p-values for differential expression analysis